Associate Data Analyst

Sanlam; Cape Town; On-site; ZAR 420,000 - 660,000; Full time

Job summary

Sanlam Life and Savings is seeking a data analytics professional to deliver descriptive analytics that help stakeholders understand performance, uncover insights, and make informed decisions. You will partner with business units to translate needs into data-driven reporting, source and validate data from multiple systems, and develop dashboards and reports to guide strategic actions.

The role emphasizes data quality, collaboration with data engineering, and opportunities to leverage AI and

Qualifications

• Bachelor's degree in a quantitative or information systems field.
• 2–4 years' experience in data analytics, reporting, or BI.
• Experience in financial services is advantageous.

Responsibilities

• Partner with business stakeholders to translate requirements into data-driven reporting and analytics solutions.
• Source, transform, analyze and validate data from multiple systems and platforms.
• Develop, maintain and enhance dashboards, reports, and visualisations to support decision-making.
• Ensure data quality through profiling, validation, reconciliation and monitoring.
• Collaborate with data engineering and technology teams to improve data accessibility and reporting capabilities.
• Support testing and user acceptance to ensure analytics solutions meet business needs.

Skills

SQL

Tableau

Snowflake

GitHub

dbt

ETL/ELT

Python

Analytics automation

Agile

Data modelling

Education

Bachelor's degree in Information Systems, Statistics, Data Science, Computer Science, Engineering, or related field

Job description

Who are we?

Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of the following business units Retail Mass, Corporate, Risk and Savings, Glacier and various business enabling functions. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the four clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives.

What will you do?

The successful candidate will deliver descriptive analytics solutions that help business stakeholders understand performance, uncover insights and make informed decisions.

What will make you successful in this role?

Key Responsibilities Include

• Partner with business stakeholders to understand requirements and translate business needs into data-driven reporting and analytics solutions.
• Source, transform, analyse and validate data from multiple systems and platforms.
• Develop, maintain and enhance dashboards, reports, and visualisations that support decision-making.
• Ensure data quality through profiling, validation, reconciliation and ongoing monitoring.
• Analyse complex datasets to identify trends, patterns, risks and opportunities that drive business value.
• Collaborate with data engineering and technology teams to improve data accessibility, quality and reporting capabilities.
• Support testing and user acceptance activities to ensure analytics solutions meet business requirements.
• Maintain clear documentation of data definitions, business rules and reporting processes.
• Contribute to team capability by sharing knowledge, promoting best practices and supporting junior analysts where appropriate.
• Identify opportunities to leverage analytics, automation, AI to improve efficiency, insights and user experience.

Qualifications And Experience

• Bachelor's degree in Information Systems, Statistics, Data Science, Computer Science, Engineering, or a related field.
• 2-4 years' experience in data analytics, reporting, or business intelligence.
• Experience within financial services would be advantageous.
• Relevant certifications in analytics, cloud data platforms, or visualisation tools would be advantageous.

Knowledge And Skills

• Strong SQL skills for data extraction, transformation and analysis.
• Experience building dashboards and visualisations using Tableau or similar BI platforms.
• Knowledge of Snowflake or other modern cloud-based data platforms.
• Familiarity with GitHub and collaborative development practices.
• Exposure to dbt or similar data transformation frameworks.
• Understanding of data modelling, ETL/ELT processes and data quality management.
• Ability to translate business requirements into practical analytics and reporting solutions.
• Strong communication and stakeholder engagement skills, with the ability to convey technical concepts to non-technical audiences.
• Exposure to Python, analytics automation, or AI-enabled analytics solutions will be advantageous.
• Experience working in Agile or iterative delivery environments.

Personal attributes

• Analytical, curious and solutions-oriented.
• Strong problem-solving skills with a keen attention to detail.
• Stakeholder-focused with a customer-centric mindset.
• Self-motivated and able to work independently.
• Collaborative and effective in cross-functional teams.
• Adaptable, with a willingness to learn new technologies and approaches.
• Innovative, with an interest in applying AI and automation to enhance analytics outcomes.

Core competencies

• Analytical Thinking
• Client Focus
• Drives Results
• Collaboration
• Continuous Improvement
• Innovation
• Adaptability

The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.